Hotel Concierge AIDevelopment
Answer guest questions at any hour, take in-stay requests and route them to the right team, while front-desk staff focus on the guests in front of them.
Hotel Concierge AI Development: what the work involves
Hotel guests ask the same things repeatedly: check-in time, breakfast hours, Wi-Fi, airport pickup, a late checkout, somewhere good for dinner. Each message ties up the front desk or goes unanswered overnight. Requests for towels or extra pillows are phoned in, forgotten, and become a complaint on a review site. Foreign guests may not share a language with the night staff.
DevKey builds a concierge that guests reach from the booking confirmation, a QR code in the room, WhatsApp or the hotel website. It answers from your policies and property information, translates between languages, and logs requests as tasks for housekeeping, maintenance or the desk with a room number and time. It suggests nearby restaurants and tours from a curated list, offers paid extras where appropriate, and escalates anything urgent, sensitive or financial straight to a staff member.
Core features
Property knowledge base
Policies, facilities, timings and room details are stored as approved content, so answers match what the hotel actually offers.
Multilingual conversation
Guests write in their own language and receive replies in it, while staff see the translation and original side by side.
Request-to-task routing
A towel request or a maintenance issue becomes a ticket for the right department, with status updates sent back to the guest.
Local recommendations
Curated restaurants, transport and activities are suggested with opening hours and distance, and partner offers can be included where agreed.
Upsell and late checkout offers
Relevant extras such as room upgrades or airport transfers are offered at suitable moments, with the booking recorded by staff or the booking system.
PMS and booking integration
With permission, the assistant reads reservation details from your property management system to personalise greetings and check eligibility.
What we get right before launch
Guest safety and urgent issues
Messages about illness, security or fire must reach a person at once. We build keyword and sentiment triggers, test them, and ensure out-of-hours escalation goes to a monitored phone and not a silent queue.
Identity and privacy
Room numbers and booking details can be misused. The assistant verifies a guest through a booking reference or a room link before sharing account details, and avoids storing sensitive information longer than needed.
Recommendations carry reputation
Suggesting a closed or unsafe venue reflects on the hotel. We use curated, dated lists with a review cycle, and do not let the model invent places or opening hours.
Tools and technology
- OpenAI GPT
- Anthropic Claude
- WhatsApp Business API
- Node.js
- PostgreSQL
- Opera and Cloudbeds PMS APIs
- n8n
- Next.js
- Twilio
Common questions, answered
Does it replace the front desk?
No. It deals with routine questions and request logging so staff can spend time on arrivals, problem solving and personal service. Anything unusual is passed to a person together with the conversation.
Can it work with our PMS?
Many modern property management systems offer APIs, and we can read bookings or push requests where they do. Older systems may only support exports, which limits real-time features.
How many languages are supported?
Modern language models handle most major languages reasonably, with quality varying by language. We test the ones your guests use and keep human staff available for nuanced or sensitive messages.
Can guests pay or book extras through it?
It can create requests or send payment links from your provider. We keep payment handling in secure external pages, and the assistant does not store card details.
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Ready to start your Hotel Concierge AI Development project?
Tell us what you need and we will come back with a clear scope, timeline and the questions worth answering before any build starts.
